Analyses using aggregated data may bias inference. In this work we show how to avoid or at least reduce this bias when estimating quantile regressions using aggregated information. This is possible by considering the unconditional quantile regression recently introduced by Firpo et al (2009) and...

Analyses using aggregated data may bias inference. In this work we show how to avoid or at least reduce this bias when estimating quantile regressions using aggregated information.  This is possible by considering the unconditional quantile regression recently introduced by Firpo et al (2009)...

This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the third generation pill, conception rates rose by more than 7%, abortion...

This paper provides a general formulation of the regression discontinuity (RD) design and applies this method to analyse the effects of the 1995 UK pill scare. We show that in the five months following a health warning on the "third generation" pill, conception rates rose by more than 7%,...

Using administrative data on schools in England, we estimate an education production model of cognitive skills at the end of secondary school. We provide empirical evidence of selfproductivity of skills and of complementarity between secondary school inputs and skills at the end of primary...

Reliable measures of poverty are an essential statistical tool to evaluate public policies aimed at reducing poverty. In this paper we consider the reliability of income poverty measures based on survey data which are typically plagued by measurement error and missing data problems. Neglecting...

Social surveys are usually affected by item and unit nonresponse. Since it is unlikely that a sample of respondents is a random sample, social scientists should take the missing data problem into account in their empirical analyses. Typically, survey methodologists try to simplify the work of...